Traffic prediction is an important management tool for traffic guidance and control and an
effective decision-making tool to help travelers plan routes and avoid congested road …

Text summarization is a process of extracting salient information from a source text and
presenting that information to the user in a condensed form while preserving its main …

Exploiting deep spatial–temporal features for traffic prediction has become growing
widespread. Accurate traffic prediction is still challenging due to the complex spatial …

In paper, we propose an unsupervised text summarization model which generates a
summary by extracting salient sentences in given document (s). In particular, we model text …

Due to the exponential growth of textual information available on the Web, end users need
to be able to access information in summary form–and without losing the most important …

Engineering drawings accompany a workpiece throughout its production process and
include information about the dimensions and tolerances as well as the associated …

Abstract Machine Learning (ML) and Data Mining (DM) build tools intended to help users
solve data‐related problems that are infeasible for “unaugmented” humans. Tools need …

Clustering has become an increasingly important and highly complicated research area for
targeting useful and relevant information in modern application domains such as the World …

The automatic text summarization (ATS) task consists in automatically synthesizing a
document to provide a condensed version of it. Creating a summary requires not only …

Purpose–The aim of this paper is to present a framework to create a better understanding of
the context and to aid the environmental disclosure management process. The paper seeks …